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Explore AWS (Amazon Web Services)

The AWS (Amazon Web Services) Program is designed to provide learners with in-depth knowledge of cloud computing concepts and hands-on experience in managing and deploying cloud-based appkications using AWS.
Course will teach students how to design , build, deploy, and secure scalable cloud solutions using AWS sercives

AWS is the world's leading cloud service provider, and this course is ideal for beginners, IT professionals, and developers seeking to upskill or pursue careers in cloud computing.

Learning Outcomes

By the end of the course, learners will:
  • Understand AWS fundamentals and the role of cloud computing.
  • Design and deploy scalable, secure, and cost-effective solutions using AWS.
  • Gain hands-on experience with AWS services, including EC2, S3, RDS, and Lambda.
  • Auutomate infrastructure and streamline deployments with DevOps tools.
  • Be prepared to pass AWS certification exams.
  • Introduction to Cloud Computing and AWS
    • What is cloud computing?
    • Benefits of cloud compouting and AWS
    • Overview of AWS global infrastructurer (Regions, Availability Zones, Edge Locations)
    • Exploring the AWS Management Console
  • AWS Core Services Overview
    • Compute services: EC2, Lambda
    • Storage services: S3, EBS, EFS
    • Database services: RDS, DynamoDB, Aurora
    • Networking services: VPC, Route 53, ELB
  • Pricing and Billing
    • AWS free tier and cost management
    • AWS Pricing Calculator
    • Monitoring costs with AWS Billing Dashboard
  • AWS Compute Services
    • Launching and managing EC2 intances
    • Auto-scaling groups and Elastic Load Balancing
    • Introduction to serverless computing with AWS Lambda
    • Elastic Beanstalk for application deployment
  • AWS Stroage Services
    • Managing and storing objects with S3
    • S3 lifecycle policies, versioning, and security
    • Block storage with EBS (Elastic Block Store)
    • Scalable file storage with EFS(Elastic File System)
  • Networking with AWS
    • Introduction to VPC (Virtual Private cloud)
    • Subnets, route tables, and gatewats
    • Securing VPC with Network ACLs and Security Groups
    • Load balancing and Route 53 for DNS management
  • AWS Indentity and Access Management(IAM)
    • Managing users, roles, and permissions
    • IAM policies and best practices
    • Securing access with AWS Organizations and Single Sign-On(SSO)
  • Monitoring and Security
    • AWS CloudWatch for monitoring resources
    • AWS CloudTrail for auditing and logging
    • AWS Trusted Advisor for security and cost optimization
  • AWS Database Services
    • Retational Databases with RDS (MySQL, PostgreSQL, Oracle, SQL Server)
    • NoSQL databases with DynamoDB
    • Data warehousing with Amazon Redshift
    • Backup and restore strategies for databases
  • Big Data and Analytics
    • Introduction to AWS Big Data tools
    • Analyzing data with AWS Glue, Athena, and QuickSight
    • Real-time data processing with Kinesis
  • Introduction to AWS DevOps
    • Principles of DevOps and continuous integration/continuous delivery(CI/CD)
    • Automating infrastructur with AWS CloudFormation
    • AWS CodePipeline, CodeBuild, and CodeDeploy
  • Containerization and Orchestration
    • Docker on AWS
    • Running containers with AWS ECS (Elastic Container Service)
    • Kubernetes on AWS with EKS(Elastic Kubernetes Service)
  • Infrastructur as Code (IaC)
    • Automating insfrastructure deployment with Terraform and AWS CDK
  • Serverless Computing
    • Deep dive into AWS Lambda functions
    • Event-driven architecture with AWS Step functions and SQS
    • Building serverless APIs wit API Gateway
  • AWS Cloud Security
    • Securing data with AWS KMS and encryption
    • Managing DDoS attacks with AWS shield
    • Web Application security with AWS WAF (Web Application Firewall)
  • AWS Machine Learning and AI Services
    • Intrroduction to AWS AI tools: SageMaker, Rekogniytion, Comperhend
    • Building , training, and deploying ML models in the cloud
    • Exploring AI-powered services like Polly and Lex
  • Capstone Project
    • Design and deploy a real-world cloud solution using AWS, such as:
      • Building a highly available and scalable e-commerce plateform
      • Developing a data analytics pipeline with S3, Glue, and QuickSight
      • Creating a serverless application with Lambda and API Gateway
  • AWS Certification Exam Preparation
    • AWS Certified Cloud Practitioner
    • AWS Certified Solutions Architech - Associate
    • AWS Certified Developer - Associate
    • AWS Cerrtified DevOps Engineer - Professional
  • Beginner:
    • AWS Certified Cloud Practitioner
  • Intermediate:
    • AWS Certified Solutions Architech - Associate
    • AWS Certified DEveloper - Associate
    • AWS Certified SysOps Administrator - Associate
  • Advanced:
    • AWS Certified Solutions Architech - Professional
    • AWS Certified DevOps Engineer - Professional
  • Specialty:
    • AWS Certified Security - Specialty
    • AWS Certified Data Analytics - Specialty
    • AWS Cerrtified Machine Learning - Specialty
  • Graduates of this program can pursue roles such as:
    • AWS Solutions Architech
    • Cloud Engineer
    • DevOps Engineer
    • Cloud Security Specialist
    • Data Engineerr
    • Serverless Application Developer
  • Short-terms Course:3 - 6 months (Foundation)
  • Comprehensive Course:9 - 12 months (Comprehensive)
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